Data Analyst
Core
Collecting, cleaning, and organizing large datasets; developing statistical and machine learning models to analyze data, uncover patterns, and automate predictions for automotive retail virtualization.
Role type
Data Analyst (Statistical Modeling & ML)
Builds
Predictive models, standard and ad-hoc reports, tools, and Excel dashboards
Domain
Automotive Retail / Virtualization / Data Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling (Moving Average, Linear Regression), Machine learning model deployment, Data cleaning and organization, Variance analysis, Trend identification, A/B testing, Process stability analysis, Data mining, Null Hypothesis testing, Excel proficiency, SQL, Access, Business Objects
Preferred skills
Google Analytics, Adobe Analytics, Amplitude
Responsibilities
Collecting, cleaning, and organizing large datasets; Developing and implementing statistical models to analyze data and uncover patterns; Building and deploying machine learning models to automate predictions; Defining and tracking key performance metrics; Standardizing dashboards and providing recommendations to product managers; Monitoring and analyzing project performance and competitive products; Validating product/UX changes with data including A/B testing; Ensuring data adherence for releases and managing dataset lifecycle; Providing weekly product performance analysis and insights to stakeholders.
Seniority
Individual Contributor
